Identifying factors influencing total-loss marine accidents in the world: Analysis and evaluation based on ship types and sea regions
Shipping industry continues to support the development of world trade and globalization of logistics network. Maritime safety has a direct bearing on human life, property and health of the marine environment, therefore, safety has always been the focus of maritime transportation. Total-loss marine a...
Ausführliche Beschreibung
Autor*in: |
Chen, Jihong [verfasserIn] Bian, Wentao [verfasserIn] Wan, Zheng [verfasserIn] Yang, Zaili [verfasserIn] Zheng, Huiying [verfasserIn] Wang, Paopao [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Ocean engineering - Amsterdam [u.a.] : Elsevier Science, 1970, 191 |
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Übergeordnetes Werk: |
volume:191 |
DOI / URN: |
10.1016/j.oceaneng.2019.106495 |
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Katalog-ID: |
ELV003214966 |
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520 | |a Shipping industry continues to support the development of world trade and globalization of logistics network. Maritime safety has a direct bearing on human life, property and health of the marine environment, therefore, safety has always been the focus of maritime transportation. Total-loss marine accidents present the most serious accident type, which is therefore crucial for decision-making and guidance on rational safety resource allocation to analyze and evaluate its influential factors. This paper selects the data on the total-loss marine accidents that occurred in the world from 1998 to 2018, involving 16 ship types and 13 main navigation sea regions. Based on an improved entropy weight-TOPSIS model, the results show that in the both models with respect to ship type and sea region, the main influential factors are foundering, stranding and fires/explosions. This paper aims to aid the relevant maritime safety authorities such as the International Maritime Organization and ship owners/operators to take effective risk control actions to avoid/reduce the occurrence of total-loss marine accidents in future. | ||
650 | 4 | |a Total-loss marine accident | |
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700 | 1 | |a Bian, Wentao |e verfasserin |4 aut | |
700 | 1 | |a Wan, Zheng |e verfasserin |4 aut | |
700 | 1 | |a Yang, Zaili |e verfasserin |4 aut | |
700 | 1 | |a Zheng, Huiying |e verfasserin |4 aut | |
700 | 1 | |a Wang, Paopao |e verfasserin |4 aut | |
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2019 |
allfields |
10.1016/j.oceaneng.2019.106495 doi (DE-627)ELV003214966 (ELSEVIER)S0029-8018(19)30637-7 DE-627 ger DE-627 rda eng 690 DE-600 50.92 bkl Chen, Jihong verfasserin aut Identifying factors influencing total-loss marine accidents in the world: Analysis and evaluation based on ship types and sea regions 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Shipping industry continues to support the development of world trade and globalization of logistics network. Maritime safety has a direct bearing on human life, property and health of the marine environment, therefore, safety has always been the focus of maritime transportation. Total-loss marine accidents present the most serious accident type, which is therefore crucial for decision-making and guidance on rational safety resource allocation to analyze and evaluate its influential factors. This paper selects the data on the total-loss marine accidents that occurred in the world from 1998 to 2018, involving 16 ship types and 13 main navigation sea regions. Based on an improved entropy weight-TOPSIS model, the results show that in the both models with respect to ship type and sea region, the main influential factors are foundering, stranding and fires/explosions. This paper aims to aid the relevant maritime safety authorities such as the International Maritime Organization and ship owners/operators to take effective risk control actions to avoid/reduce the occurrence of total-loss marine accidents in future. Total-loss marine accident Improved entropy weight-TOPSIS Maritime safety Maritime risk Bian, Wentao verfasserin aut Wan, Zheng verfasserin aut Yang, Zaili verfasserin aut Zheng, Huiying verfasserin aut Wang, Paopao verfasserin aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 191 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:191 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.92 Meerestechnik AR 191 |
spelling |
10.1016/j.oceaneng.2019.106495 doi (DE-627)ELV003214966 (ELSEVIER)S0029-8018(19)30637-7 DE-627 ger DE-627 rda eng 690 DE-600 50.92 bkl Chen, Jihong verfasserin aut Identifying factors influencing total-loss marine accidents in the world: Analysis and evaluation based on ship types and sea regions 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Shipping industry continues to support the development of world trade and globalization of logistics network. Maritime safety has a direct bearing on human life, property and health of the marine environment, therefore, safety has always been the focus of maritime transportation. Total-loss marine accidents present the most serious accident type, which is therefore crucial for decision-making and guidance on rational safety resource allocation to analyze and evaluate its influential factors. This paper selects the data on the total-loss marine accidents that occurred in the world from 1998 to 2018, involving 16 ship types and 13 main navigation sea regions. Based on an improved entropy weight-TOPSIS model, the results show that in the both models with respect to ship type and sea region, the main influential factors are foundering, stranding and fires/explosions. This paper aims to aid the relevant maritime safety authorities such as the International Maritime Organization and ship owners/operators to take effective risk control actions to avoid/reduce the occurrence of total-loss marine accidents in future. Total-loss marine accident Improved entropy weight-TOPSIS Maritime safety Maritime risk Bian, Wentao verfasserin aut Wan, Zheng verfasserin aut Yang, Zaili verfasserin aut Zheng, Huiying verfasserin aut Wang, Paopao verfasserin aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 191 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:191 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.92 Meerestechnik AR 191 |
allfields_unstemmed |
10.1016/j.oceaneng.2019.106495 doi (DE-627)ELV003214966 (ELSEVIER)S0029-8018(19)30637-7 DE-627 ger DE-627 rda eng 690 DE-600 50.92 bkl Chen, Jihong verfasserin aut Identifying factors influencing total-loss marine accidents in the world: Analysis and evaluation based on ship types and sea regions 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Shipping industry continues to support the development of world trade and globalization of logistics network. Maritime safety has a direct bearing on human life, property and health of the marine environment, therefore, safety has always been the focus of maritime transportation. Total-loss marine accidents present the most serious accident type, which is therefore crucial for decision-making and guidance on rational safety resource allocation to analyze and evaluate its influential factors. This paper selects the data on the total-loss marine accidents that occurred in the world from 1998 to 2018, involving 16 ship types and 13 main navigation sea regions. Based on an improved entropy weight-TOPSIS model, the results show that in the both models with respect to ship type and sea region, the main influential factors are foundering, stranding and fires/explosions. This paper aims to aid the relevant maritime safety authorities such as the International Maritime Organization and ship owners/operators to take effective risk control actions to avoid/reduce the occurrence of total-loss marine accidents in future. Total-loss marine accident Improved entropy weight-TOPSIS Maritime safety Maritime risk Bian, Wentao verfasserin aut Wan, Zheng verfasserin aut Yang, Zaili verfasserin aut Zheng, Huiying verfasserin aut Wang, Paopao verfasserin aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 191 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:191 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.92 Meerestechnik AR 191 |
allfieldsGer |
10.1016/j.oceaneng.2019.106495 doi (DE-627)ELV003214966 (ELSEVIER)S0029-8018(19)30637-7 DE-627 ger DE-627 rda eng 690 DE-600 50.92 bkl Chen, Jihong verfasserin aut Identifying factors influencing total-loss marine accidents in the world: Analysis and evaluation based on ship types and sea regions 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Shipping industry continues to support the development of world trade and globalization of logistics network. Maritime safety has a direct bearing on human life, property and health of the marine environment, therefore, safety has always been the focus of maritime transportation. Total-loss marine accidents present the most serious accident type, which is therefore crucial for decision-making and guidance on rational safety resource allocation to analyze and evaluate its influential factors. This paper selects the data on the total-loss marine accidents that occurred in the world from 1998 to 2018, involving 16 ship types and 13 main navigation sea regions. Based on an improved entropy weight-TOPSIS model, the results show that in the both models with respect to ship type and sea region, the main influential factors are foundering, stranding and fires/explosions. This paper aims to aid the relevant maritime safety authorities such as the International Maritime Organization and ship owners/operators to take effective risk control actions to avoid/reduce the occurrence of total-loss marine accidents in future. Total-loss marine accident Improved entropy weight-TOPSIS Maritime safety Maritime risk Bian, Wentao verfasserin aut Wan, Zheng verfasserin aut Yang, Zaili verfasserin aut Zheng, Huiying verfasserin aut Wang, Paopao verfasserin aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 191 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:191 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.92 Meerestechnik AR 191 |
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10.1016/j.oceaneng.2019.106495 doi (DE-627)ELV003214966 (ELSEVIER)S0029-8018(19)30637-7 DE-627 ger DE-627 rda eng 690 DE-600 50.92 bkl Chen, Jihong verfasserin aut Identifying factors influencing total-loss marine accidents in the world: Analysis and evaluation based on ship types and sea regions 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Shipping industry continues to support the development of world trade and globalization of logistics network. Maritime safety has a direct bearing on human life, property and health of the marine environment, therefore, safety has always been the focus of maritime transportation. Total-loss marine accidents present the most serious accident type, which is therefore crucial for decision-making and guidance on rational safety resource allocation to analyze and evaluate its influential factors. This paper selects the data on the total-loss marine accidents that occurred in the world from 1998 to 2018, involving 16 ship types and 13 main navigation sea regions. Based on an improved entropy weight-TOPSIS model, the results show that in the both models with respect to ship type and sea region, the main influential factors are foundering, stranding and fires/explosions. This paper aims to aid the relevant maritime safety authorities such as the International Maritime Organization and ship owners/operators to take effective risk control actions to avoid/reduce the occurrence of total-loss marine accidents in future. Total-loss marine accident Improved entropy weight-TOPSIS Maritime safety Maritime risk Bian, Wentao verfasserin aut Wan, Zheng verfasserin aut Yang, Zaili verfasserin aut Zheng, Huiying verfasserin aut Wang, Paopao verfasserin aut Enthalten in Ocean engineering Amsterdam [u.a.] : Elsevier Science, 1970 191 Online-Ressource (DE-627)30658977X (DE-600)1498543-3 (DE-576)259484164 0029-8018 nnns volume:191 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.92 Meerestechnik AR 191 |
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Identifying factors influencing total-loss marine accidents in the world: Analysis and evaluation based on ship types and sea regions |
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Identifying factors influencing total-loss marine accidents in the world: Analysis and evaluation based on ship types and sea regions |
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Chen, Jihong |
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Chen, Jihong Bian, Wentao Wan, Zheng Yang, Zaili Zheng, Huiying Wang, Paopao |
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identifying factors influencing total-loss marine accidents in the world: analysis and evaluation based on ship types and sea regions |
title_auth |
Identifying factors influencing total-loss marine accidents in the world: Analysis and evaluation based on ship types and sea regions |
abstract |
Shipping industry continues to support the development of world trade and globalization of logistics network. Maritime safety has a direct bearing on human life, property and health of the marine environment, therefore, safety has always been the focus of maritime transportation. Total-loss marine accidents present the most serious accident type, which is therefore crucial for decision-making and guidance on rational safety resource allocation to analyze and evaluate its influential factors. This paper selects the data on the total-loss marine accidents that occurred in the world from 1998 to 2018, involving 16 ship types and 13 main navigation sea regions. Based on an improved entropy weight-TOPSIS model, the results show that in the both models with respect to ship type and sea region, the main influential factors are foundering, stranding and fires/explosions. This paper aims to aid the relevant maritime safety authorities such as the International Maritime Organization and ship owners/operators to take effective risk control actions to avoid/reduce the occurrence of total-loss marine accidents in future. |
abstractGer |
Shipping industry continues to support the development of world trade and globalization of logistics network. Maritime safety has a direct bearing on human life, property and health of the marine environment, therefore, safety has always been the focus of maritime transportation. Total-loss marine accidents present the most serious accident type, which is therefore crucial for decision-making and guidance on rational safety resource allocation to analyze and evaluate its influential factors. This paper selects the data on the total-loss marine accidents that occurred in the world from 1998 to 2018, involving 16 ship types and 13 main navigation sea regions. Based on an improved entropy weight-TOPSIS model, the results show that in the both models with respect to ship type and sea region, the main influential factors are foundering, stranding and fires/explosions. This paper aims to aid the relevant maritime safety authorities such as the International Maritime Organization and ship owners/operators to take effective risk control actions to avoid/reduce the occurrence of total-loss marine accidents in future. |
abstract_unstemmed |
Shipping industry continues to support the development of world trade and globalization of logistics network. Maritime safety has a direct bearing on human life, property and health of the marine environment, therefore, safety has always been the focus of maritime transportation. Total-loss marine accidents present the most serious accident type, which is therefore crucial for decision-making and guidance on rational safety resource allocation to analyze and evaluate its influential factors. This paper selects the data on the total-loss marine accidents that occurred in the world from 1998 to 2018, involving 16 ship types and 13 main navigation sea regions. Based on an improved entropy weight-TOPSIS model, the results show that in the both models with respect to ship type and sea region, the main influential factors are foundering, stranding and fires/explosions. This paper aims to aid the relevant maritime safety authorities such as the International Maritime Organization and ship owners/operators to take effective risk control actions to avoid/reduce the occurrence of total-loss marine accidents in future. |
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title_short |
Identifying factors influencing total-loss marine accidents in the world: Analysis and evaluation based on ship types and sea regions |
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Bian, Wentao Wan, Zheng Yang, Zaili Zheng, Huiying Wang, Paopao |
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up_date |
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